Triple
T29530774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equestrian statue of Francesco Sforza |
E749194
|
entity |
| Predicate | scaleOfModel |
P116650
|
FINISHED |
| Object | full‑size clay model completed before casting |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: full‑size clay model completed before casting | Statement: [Equestrian statue of Francesco Sforza, scaleOfModel, full‑size clay model completed before casting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfModel Context triple: [Equestrian statue of Francesco Sforza, scaleOfModel, full‑size clay model completed before casting]
-
A.
scaleModelOf
chosen
Indicates that one entity is a scaled representation (larger or smaller but proportionally accurate) of another entity.
-
B.
EiffelTowerReplicaScale
Indicates that one structure is a replica of the Eiffel Tower at a specified scale relative to the original.
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
modelSize
Indicates the quantitative measure of how large or complex a model is, typically in terms of parameters, layers, or memory footprint.
-
E.
exhibitionScale
Indicates the relative size, scope, or extent of an exhibition in which an entity is presented or involved.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cc2656081908adb6f119caa0cc1 |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 4:52 p.m.